AWS cloud Data Engineer

Position Name - AWS Cloud Data Engineer

Experience - 5- 10 years

Work Location - Remote

Notice Period - Immediate Joiner

Primary Responsibilities

• Analyze and understand existing data warehouse implementations to support migration and consolidation efforts.
• Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks.
• Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.
• Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks.
• Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.
• Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the new platform.
• Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability.
• Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.
• Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.
• Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming
• Triage, debug and fix technical issues related to Data Lakes
• Maintain and Manage Code repositories like Git

You Must Have:

• 5+ years of experience working with

  Databricks

  , including Spark SQL and Delta Lake implementations.
• 3 + years of experience in designing and implementing data lake architectures on Databricks.
• Strong SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures.
• Hands-on experience with data modeling and warehouse design principles.
• Proficiency in at least one programming language (Python, Scala, Java).
• Bachelors degree in Computer Science, Information Technology, Data Engineering, or related field.
• Experience working in Agile environments and contributing to iterative development cycles. Experience working on Agile projects and Agile methodology in general